Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283694634> ?p ?o ?g. }
- W4283694634 endingPage "265" @default.
- W4283694634 startingPage "243" @default.
- W4283694634 abstract "Blockchain technology has become among the most influential disruptive technologies in current times. Its central role in the decentralization of various real-world systems, e.g. finance/economy, energy, healthcare, operations management, computing as well as data infrastructure is indisputable. The objective of this work is to provide a concise and recent review of the implementation of optimization and deep learning techniques on blockchain-based systems. The blockchain-based application areas considered in this review are as follows: computational optimization frameworks, internet of things, smart grids, supply chain management, and healthcare data systems. The implementation of optimization and deep learning techniques on these blockchain-based real-world systems are presented and discussed." @default.
- W4283694634 created "2022-06-30" @default.
- W4283694634 creator A5070640241 @default.
- W4283694634 creator A5079168872 @default.
- W4283694634 creator A5085748011 @default.
- W4283694634 creator A5089550455 @default.
- W4283694634 date "2022-06-28" @default.
- W4283694634 modified "2023-09-26" @default.
- W4283694634 title "A Concise Review on Recent Optimization and Deep Learning Applications in Blockchain Technology" @default.
- W4283694634 cites W2565735956 @default.
- W4283694634 cites W2777647696 @default.
- W4283694634 cites W2792850657 @default.
- W4283694634 cites W2799581224 @default.
- W4283694634 cites W2805677640 @default.
- W4283694634 cites W2810208464 @default.
- W4283694634 cites W2884623132 @default.
- W4283694634 cites W2886169738 @default.
- W4283694634 cites W2894118392 @default.
- W4283694634 cites W2896376638 @default.
- W4283694634 cites W2898069736 @default.
- W4283694634 cites W2899357412 @default.
- W4283694634 cites W2909202584 @default.
- W4283694634 cites W2913127416 @default.
- W4283694634 cites W2928277486 @default.
- W4283694634 cites W2929438235 @default.
- W4283694634 cites W2937156094 @default.
- W4283694634 cites W2938250600 @default.
- W4283694634 cites W2942993328 @default.
- W4283694634 cites W2946153667 @default.
- W4283694634 cites W2948768133 @default.
- W4283694634 cites W2950621077 @default.
- W4283694634 cites W2959790549 @default.
- W4283694634 cites W2962621836 @default.
- W4283694634 cites W2963067739 @default.
- W4283694634 cites W2963349604 @default.
- W4283694634 cites W2966423400 @default.
- W4283694634 cites W2977247440 @default.
- W4283694634 cites W2980651092 @default.
- W4283694634 cites W2981946327 @default.
- W4283694634 cites W2983145744 @default.
- W4283694634 cites W2983296812 @default.
- W4283694634 cites W2986949576 @default.
- W4283694634 cites W2992116333 @default.
- W4283694634 cites W2992395010 @default.
- W4283694634 cites W2995742573 @default.
- W4283694634 cites W2997208348 @default.
- W4283694634 cites W2999650510 @default.
- W4283694634 cites W3006718153 @default.
- W4283694634 cites W3007458047 @default.
- W4283694634 cites W3008565796 @default.
- W4283694634 cites W3008737119 @default.
- W4283694634 cites W3008841936 @default.
- W4283694634 cites W3009828395 @default.
- W4283694634 cites W3011748039 @default.
- W4283694634 cites W3014746216 @default.
- W4283694634 cites W3018763633 @default.
- W4283694634 cites W3021118473 @default.
- W4283694634 cites W3021133871 @default.
- W4283694634 cites W3026568256 @default.
- W4283694634 cites W3027501833 @default.
- W4283694634 cites W3033229462 @default.
- W4283694634 cites W3034857704 @default.
- W4283694634 cites W3035563549 @default.
- W4283694634 cites W3039152299 @default.
- W4283694634 cites W3040649972 @default.
- W4283694634 cites W3041261812 @default.
- W4283694634 cites W3046091408 @default.
- W4283694634 cites W3047794975 @default.
- W4283694634 cites W3048952889 @default.
- W4283694634 cites W3049014197 @default.
- W4283694634 cites W3049532577 @default.
- W4283694634 cites W3084719440 @default.
- W4283694634 cites W3088127267 @default.
- W4283694634 cites W3091614728 @default.
- W4283694634 cites W3092968831 @default.
- W4283694634 cites W3093525173 @default.
- W4283694634 cites W3099425859 @default.
- W4283694634 cites W3099489214 @default.
- W4283694634 cites W3101098008 @default.
- W4283694634 cites W3101241925 @default.
- W4283694634 cites W3101657989 @default.
- W4283694634 cites W3105507192 @default.
- W4283694634 cites W3108977695 @default.
- W4283694634 cites W3110845143 @default.
- W4283694634 cites W3116702213 @default.
- W4283694634 cites W3118436442 @default.
- W4283694634 cites W3119304419 @default.
- W4283694634 cites W3133533005 @default.
- W4283694634 cites W3134698707 @default.
- W4283694634 doi "https://doi.org/10.1002/9781119798798.ch12" @default.
- W4283694634 hasPublicationYear "2022" @default.
- W4283694634 type Work @default.
- W4283694634 citedByCount "1" @default.
- W4283694634 countsByYear W42836946342023 @default.
- W4283694634 crossrefType "other" @default.
- W4283694634 hasAuthorship W4283694634A5070640241 @default.
- W4283694634 hasAuthorship W4283694634A5079168872 @default.
- W4283694634 hasAuthorship W4283694634A5085748011 @default.